Microsoft Research

We will be presenting a series of online tutorial sessions to introduce and provide examples of the work that is possible in the Catapult Academic environment.  See more on this video

I will present the main algorithms to achieve robust, 6-DOF, state estimation for mobile robots using passive sensing.

In April of 2016, an early VR title called Audioshield was released on Steam, the largest PC gaming community in the world.

In this work, we propose to apply trust region optimization to deep reinforcement learning using a recently proposed Kronecker-factored approximation to the curvature.

Many of the major security problems are caused by small programming errors, which could be avoided by automating menial programming tasks through program synthesis.

The Mobile Assistance Using Infrastructure (MAUI) project enables a new class of CPU- and data-intensive applications that seamlessly augment the cognitive abilities of users by exploiting speech

Researchers at the Alan Turing Institute in the United Kingdom are using artificial intelligence and machine learning to push the state of the art in data science to better understand what makes us

An introduction to ethnography for Artificial Intelligence as well as conversational analysis and its relevance to AI.

Merve Alanyali and Suzy Moat of The Alan Turing Institute explain how they use Azure to analyze and use online data to understand human behavior.

This demo shows our work on a mobile robot that gives directions to visitors.

Microsoft Translator live enables users to hold translated conversations across two or more languages, with up to 100 participants participating at the same time using PowerPoint, iOS, Android

Visual search, AKA search by image, is a new way of searching for information using an image or part of an image as the query.

Microsoft Pix helps every photographer take better pictures. Because it incorporates AI behind the lens, it can tweak settings, select the best shots, and enhance them on the fly.

This demo demonstrates several applications of Microsoft’s recent work in artistic style transfer for images and videos.

When traveling to China it’s best to know at least a bit of the language. The mobile app called Learn Chinese can help travelers enjoy a better journey.

Building machine learning (ML) models is an involved process requiring ML experts, engineers, and labelers.

Project Catapult connects FPGAs together through a network to create a hyperscale, reconfigurable accelerator fabric.

DeepFindSearching within web documents on mobile devices is difficult and unnatural: ctrl-f searches only for exact matches, and it’s hard to see the search results.

From ferry schedules to dinner reservations, Cortana is the digital assistant designed to help people get things done.

Two of the most important components of speech recognition systems are the acoustic model and the language model.

This demo shows how Custom Vision Service can be applied to many AI vision applications.

As we move into the world of messaging apps, bots and botification of content, users are starting to move from keyword searches to relying on bots and assistants for their information seeking needs.

Project InnerEye is a new AI product targeted at improving the productivity of oncologists, radiologists, and surgeons when working with radiological images.

Project Malmo is an open source AI experimentation platform that supports fundamental AI research.

Knowing which part of a program processes which parts of an input can reveal the structure of the input as well as the structure of the program.

The logics required to support program verification go much beyond the class of decidable logics available today, and beyond the quantifier-free logics supported by SMT solvers today.

This talk will give an overview of our research projects. Cloudberry is a middleware solution to support interactive exploration and visualization on large data sets ("responsive big queries").

JavaScript is becoming one of the most popular languages, yet it is known for its suboptimal design.

Machine learning is increasingly being adopted by various domains: governments, credit, recruiting, advertising, and many others.

When attacking the problem of Autonomous Driving, one must take into account strict computational constraints, posed by the desired low cost of sensors and processors, and by the required real-time